“I didn’t know what to push… or when, or where”
- Claire Brunaud
- Jul 29
- 2 min read
The Context
Back to Julie. This time, the challenge is different.
She has several “hero products”, but she doesn’t know what time of day they perform best, or in which city.
She wants to tailor her social media campaigns by region and by time slot.
But so far, she’s been relying on field feedback or data that’s too broad to segment effectively.
The Problem
How can she tell if a product is a hit at lunchtime in Lille, or in the evening in Marseille ?
How can she target her sponsored posts or local stories without this level of precision ?
And more importantly : How can she avoid wasting ad spend on the wrong slots ?
Enter Fyre
Julie uses Fyre’s cross-analysis tools :
By product
By hour
By city
By channel (dine-in, click & collect, delivery)
She can now identify the hot zones for each offer.
What Fyre Reveals
Her flagship product, the Signature Bowl :
Drives 65% of its sales between 12:00 and 1:30 PM
Performs best in Lille and Lyon
Is barely ordered in Marseille (less than 4% of sales)
Julie now knows she should focus Instagram Stories + ads on Lille between 11:30 AM and 12:15 PM, with a clear promotional message.
Actions Taken
She launches a geo-targeted Insta campaign, focused only on the identified hot zones during the top-performing time slot.
She uses a countdown story, triggers an automatic boost, and lets it run for 5 days.
The Results
+25% increase in bowl sales in targeted zones
Less wasted ad spend
More precise, more local, more efficient campaigns
Julie now relies on real-time data to guide her content strategy. And the numbers back her up.
Key Takeaway
➡️ Marketing data is only valuable if it’s actionable in real time.
Fyre gives communication teams a demand GPS, right down to the local and hourly level.
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